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Transfer Learning Utilizing Real Industrial Vehicle Data Based on Similar Usage Trends

Year: 2024

Type: conference-paper

Source: International Conference on Soft Computing & Machine Intelligence (ISCMI)

DOI: 10.1109/iscmi63661.2024.10851635

Authors: Keigo Matsuura, Naoya Yokomachi, Shotaro Akaho

Institution: National Institute of Advanced Industrial Science and Technology

Language: English

Topic: Fuel Cells and Related Materials

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4406892842

FWCI: 0.779

Cites: 21

Cited by: 1

Related to: 10